Talks and Teaching

Reproducible Geospatial Analysis in Python

Published: November 15, 2019

slides

notebook

repo

PhD Causal Inference and Machine Learning

Published: April 01, 2024

450B: Causal Inference (W:2021,2022)

TA for Prof Jens Hainmueller

• Visualising identification strategies
• Slides
  • Randomised Experiments
  • Selection on Observables
  • Sensitivity Analysis
  • Difference in Differences
  • Panel Data and Synthetic Control
  • Instrumental Variables I
  • Instrumental Variables II
  • Regression Discontinuity Design

450C: Machine Learning (S:2021,2022)

TA for Prof Justin Grimmer

• Slides
  • Maximum Likelihood Basics
  • Goodness of Fit, Principal Components Analysis
  • Regularised Regression
  • Random Forests and GAMs
  • Text Analysis and LDA
  • Heterogeneous Treatment Effects
    • More advanced treatment for a workshop
  • ML and Causal Inference under Unconfoundedness
    • More advanced treatment including material on continuous treatments and panel data

Reading Group Slides

Published: April 01, 2024

Panel Data

• Doudchenko and Imbens (2016)
  • arxiv
• Imbens, Kallus, Mao (2021)
  • arxiv